A new study published in Nature reveals that artificial intelligence systems can now identify early signs of Alzheimer’s disease from brain scans with 95% accuracy, up to six years before clinical diagnosis. The research team from the University of California, San Francisco, developed a deep learning algorithm trained on over 2,100 PET scans. The AI model detects subtle metabolic changes in the brain that precede the onset of symptoms. This advancement could lead to earlier interventions and more effective treatment planning. The researchers emphasize the need for further validation in diverse populations before clinical implementation. Read the full article at https://sciencedaily.com/releases/2023/10/231002134926.htm.